Alternatives and similar repositories for SwapVAE

Users that are interested in SwapVAE are comparing it to the libraries listed below

• nerdslab / EIT
  PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with trans…
  ☆14Updated 2 years ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆68Updated last week
• dicarlolab / npc
  Code for Neural Population Control
  ☆19Updated 6 years ago
• zhd96 / pi-vae
  Poisson Identifiable VAE (pi-VAE)
  ☆52Updated 4 years ago
• snel-repo / neural-data-transformers
  ☆81Updated 3 years ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆30Updated 2 months ago
• gyyang / olfaction_evolution
  ☆20Updated 3 years ago
• ZitongLu1996 / EEG2EEG
  [CogSci 23'] Generate your neural signals from mine: individual-to-individual EEG converters
  ☆28Updated 2 years ago
• meeg-ml-benchmarks / brain-age-benchmark-paper
  M/EEG brain age benchmark paper
  ☆29Updated 2 years ago
• ViCCo-Group / THINGS-data
  THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior
  ☆52Updated last year
• gmentz / seegnificant
  Codebase for publication "Neural decoding from stereotactic EEG: accounting for electrode variability across subjects" @ NeurIPS (2024)
  ☆15Updated 3 months ago
• subbareddy248 / Awesome-Brain-Encoding--Decoding
  ☆42Updated last year
• BNUCNL / dnnbrain
  Use DNN to study the brain and use brain measurement to evaluate DNN
  ☆45Updated 10 months ago
• AKiessner / TUHAbnormal-Expansion-dataset
  ☆12Updated 2 years ago
• neuroailab / unsup_vvs
  Unsupervised deep convolutional neural network model for the ventral visual stream.
  ☆27Updated 2 years ago
• athms / learning-from-brains
  Self-supervised learning techniques for neuroimaging data inspired by prominent learning frameworks in natural language processing + One …
  ☆104Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆22Updated 2 years ago
• gyyang / multitask
  Code for Task representations in neural networks trained to perform many cognitive tasks
  ☆169Updated 6 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆33Updated last year
• KrishnaswamyLab / TPHATE
  ☆27Updated 6 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆140Updated last year
• cvnlab / nsdcode
  Code related to analyzing the Natural Scenes Dataset
  ☆44Updated 9 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆63Updated last year
• blahner / BOLDMomentsDataset
  Starter code for the BOLDMoments fMRI video dataset
  ☆17Updated last year
• cjspoerer / rcnn-sat
  Recurrent convolutional neural networks for object recognition
  ☆18Updated 4 years ago
• a-antoniades / Neuroformer
  ☆38Updated 6 months ago
• DurstewitzLab / dendPLRNN
  ☆20Updated last year
• OscillationMethods / OscillationMethods
  Methodological considerations for analyzing and interpreting neural oscillations.
  ☆31Updated last year
• SPOClab-ca / ThinkerInvariance
  ☆18Updated 5 years ago
• jbakermans / state-space-composition
  Models and simulations for state space composition
  ☆23Updated 9 months ago